A flexible quality of service model for mobile ad-hoc networks

Xiao, Hannan; Seah, W.K.G.; Lo, Anthony; Chua, Kee Chaing

doi:10.1109/vetecs.2000.851496

Cited by 147 publications

(19 citation statements)

References 10 publications

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“…In this paper, we propose a flexible QoS model for MANETs (FQMM), which considers the characteristics of MANETs and combines the high quality QoS of IntServ and service differentiation of DiffServ. [13].…”

Section: Literature Survey On Qos In Manetmentioning

confidence: 99%

Analysing the Effects of Mobility Model on QoS in MANET

Garg¹,

Kumar²,

Chaturvedi³

2017

IJCA

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As we know that in a Mobile Adhoc Network [MANET], mobility is the very important factor. Mobility gives the flexibility to the node to move in the coverage area. Here, in MANET multiple mobility models are proposed and every model provides different mobility and Quality of Service (QoS) support to the nodes. In this paper, we will present a study on these mobility models and its effects on QoS support in MANET and important findings.

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Section: Literature Survey On Qos In Manetmentioning

confidence: 99%

Analysing the Effects of Mobility Model on QoS in MANET

Garg¹,

Kumar²,

Chaturvedi³

2017

IJCA

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“…The classifier looks at the marking and, if the packet is marked as RT, the packet will bypass the shaper mechanism, remaining unregulated. Some other QoS models are discussed in [2,3,11,13,27]. Two important control mechanisms in SWAN are discussed next.…”

Section: Swan Modelmentioning

confidence: 99%

Sensitivity of SWAN QoS model in MANETs with proactive and reactive routing: a simulation study

Zhang

Anpalagan

2009

Telecommun Syst

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In this article, one of the QoS models for MANETs-SWAN is studied under varying conditions to provide both quantitative and qualitative assessments of the applicability of the model in different scenarios. Results and analysis from NS-2 based simulation indicate that (i) realtime (RT) applications in SWAN-enabled mobile ad hoc networks experience low and stable delays under various traffic and mobility environment at the expense of best-effort (BE) traffic, (ii) SWAN model works compatibly with proactive as well as reactive routing protocols, and (iii) a careful choice of SWAN AIMD parameters is important to balance the throughput of the BE traffic and RT traffic and QoS provisions in MANETs.

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“…Oppositely, the IntServ architecture is a fine-grained approach, meaning that each flow could be handled separately, according to its specific QoS requirements (for instance bandwidth requirements). Several approaches were presented in literature either following the DiffServ concept ( [9]) or the IntServ concept ( [10], [11] [12], [13]) or both ( [14], [15]). …”

Section: Introductionmentioning

confidence: 99%

A QoE-aware dynamic bandwidth allocation algorithm based on game theory

Oddi

Pietrabissa

Priscoli

et al. 2015

2015 23rd Mediterranean Conference on Control and Automation (MED)

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Quality of Experience (QoE) is a wide concept including user perception, behavior and expectations as well as application and network performances. The Internet of the future should be able to increase the QoE offered to the users, also in relationship with their commercial profiles. This paper presents an innovative approach, based on game theory, which, according to the feedback of QoE, is able to dynamically assign the available bandwidth of a shared technology (e.g. a WLAN, a cell) to the running flows, in order to maximize the QoE of the users and to guarantee fairness. Moreover, flows could be prioritized, according to commercial profiles (e.g., flows for which users pay more must be served with higher quality). The proposed approach is independent of the way the feedback of QoE is computed (it could be given by a direct user quality expression, estimated from the QoS measurements, from the user's behavior, etc.): the only assumption is that the QoE is a non-decreasing continuous function of the bandwidth allocated to the application. Simulations, considering audio flows with different codecs for which the IQX hypothesis (i.e., exponential interdependency of QoE and QoS) holds, show high performances and fairness/prioritization properties

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A flexible quality of service model for mobile ad-hoc networks

Cited by 147 publications

References 10 publications

Analysing the Effects of Mobility Model on QoS in MANET

Analysing the Effects of Mobility Model on QoS in MANET

Sensitivity of SWAN QoS model in MANETs with proactive and reactive routing: a simulation study

A QoE-aware dynamic bandwidth allocation algorithm based on game theory

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